Cited by 171Educational Assessment and ImprovementTeacher Education and Leadership StudiesSchool Leadership and Teacher Performance

Data teams for school improvement

Open access
Schildkamp, Kim, Poortman, Cindy L., Handelzalts, Adam·2016·School Effectiveness and School Improvement

Abstract

The use of data for educational decision making has never been more prevalent. However, teachers and school leaders need support in data use. Support can be provided by means of professional development in the form of “data teams”. This study followed the functioning of 4 data teams over a period of 2 years, applying a qualitative case study design. The findings show that data use is not a linear process, and that teams go through different feedback loops to reach higher levels of depth of inquiry. The data team procedure is a promising way of enhancing data-based decision making in schools.

AI snapshot

Written from the paper’s full text.

TL;DR

This qualitative case study followed four Dutch secondary school data teams over two years as they implemented an eight-step data team procedure. It finds that data use was not linear, with teams moving through feedback loops, and that the procedure is a promising way to enhance data-based decision making in schools.

Key findings

  • Data use was not a linear process: all teams returned to earlier steps, and three of four teams developed new knowledge through feedback loops; two teams (W and C) moved to action and outcomes.
  • Team W reduced grade repetition from over 30% to 23% after implementing measures; Team C found student results did not significantly decline in percentages and fractions after repetition and differentiation measures.
  • Depth of inquiry varied: Teams W, C, and G reached higher depth in final meetings, while Team B remained mostly at low/average depth, did not turn information into knowledge or action, and terminated after Meeting 6 (after 9 months).
  • Attribution shifted in the more successful teams: Teams W and C moved from external to internal causes and took action at the level of their own functioning; Team G did not reach implementing measures related to its own functioning.

Methods

  • Qualitative case study using a micro-process perspective; followed 4 data teams with members from 6 Dutch secondary schools over 2 years, focused on problems including grade repetition, mathematics achievement, and pre-vocational entrants’ performance.
  • Data included audio-recorded 34 data team meetings (1–1.5 hr) and 24 interviews (1 hr) conducted about six months after teams started; transcripts were coded in Atlas.ti using the theoretical framework of data-based decision making, depth of inquiry, and attribution.
  • Analysis used within-case summaries and cross-case matrix displays; interrater agreement was a Cohen’s Kappa of 0.76 on approximately 10% of observation transcripts, and researchers who did not facilitate the teams conducted the analyses.

Limitations

  • Stated: the study is a small pilot in a specific context; the authors cannot conclude that improvements were caused by the data teams alone, and further research is needed on enabling factors, larger scale, and long-term effects.
  • Stated/evident: data availability and quality were sometimes problematic, especially for Teams B and G; Team G had only six meetings within 1 year, and Team B terminated early, limiting comparison across teams.
  • Evident: one researcher developed and facilitated the data team procedure, although analyses were conducted by non-facilitators; teams voluntarily approached the University of Twente, so selection and context may limit generalizability.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1080/09243453.2015.1056192

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 65 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    In Meetings 6 and 7, Team W discussed student motivation survey results at average depth.

    “However, in Meetings 6 and 7 they continued to discuss the results of the student motivation survey at a more basic level (average depth).”
    Quote in the paperNot a substantial claim
  • Findingreasoning

    Team B did not turn any information into knowledge, action, or subsequent outcomes.

    “Team B did not succeed in turning any information into knowledge, action, or subsequent outcomes, therefore.”
    Quote in the paperNot a substantial claim
  • Findingown data

    Even if teams get beyond analysis phase, they still need support in coming up with concrete actions.

    “The results of our study show that even if teams get beyond the analysis phase (from data to information to knowledge), they still need support in coming up with concrete actions.”
    Quote in the paperSubstantial claim
  • Findingown data

    According to facilitator analyses, Team G grades of students entering 4th year from vocational lower level track did not differ significantly from grades of students already from middle level.

    “According to the analyses by the facilitator, the grades of students entering the 4th year from the vocational lower level track did not differ significantly from the grades of students who already came from the middle level.”
    Quote in the paperNot a substantial claim
  • Findingown data

    Team W's grade repetition rate fell to 23% after its measures, down from over 30% in one year.

    “The subsequent outcome they measured was that the number of students repeating a class turned out to be less than 30%, namely 23%.”
    • Also stated in: § M1 M2 · plain
      “After implementing their measures, the number of students repeating a class at Team W's school decreased in 1 year from over 30% to 23%.”
    Quote in the paperSubstantial claim
  • May combine two claims. 46
  • The quote only partly states this claim. 8
  • Classified as probably not a substantial claim. 29
  • May combine two claims.

    Findingown data

    Team B remained far behind; most meetings focused on defining problem, criteria, personal experiences and opinions about solutions.

    “Team B remained far behind: Most of their meetings were only focused on defining the problem and setting related criteria and personal experiences and opinions about possible solutions.”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    When Team B moved to hypotheses and data collection, many proposed data were not available.

    “When finally moving on to hypotheses and collecting data, many of the proposed data were not available.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Only Team C and Team W actually investigated hypotheses related to own functioning and took action at this level.

    “Only Team C and Team W, however, actually investigated hypotheses related to their own functioning, and consequently took action at this level.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Team G had only six meetings within pilot study and did not reach level of turning knowledge into action and outcomes.

    “They only had six meetings within the period of the pilot study, within which they did not reach the level of turning knowledge into action and outcomes.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Three of four teams went through several feedback loops and developed new knowledge based on data.

    “Three of the four teams went through several feedback loops and were able to develop new knowledge based on data.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Data do not always directly lead to action, but data challenged assumptions of data team members.

    “Moreover, the data do not always directly lead to action, but the data have challenged the assumptions of the data team members.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Interrater agreement was satisfactory, with Cohen's Kappa of 0.76.

    “We calculated the interrater agreement and found a satisfying Cohen's Kappa of 0.76.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The study's findings show that data use is not linear and that teams move through different feedback loops to reach deeper levels of inquiry.

    “The findings show that data use is not a linear process, and that teams go through different feedback loops to reach higher levels of depth of inquiry.”
    Quote in the paperSubstantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    Team C's evaluation after a couple months showed students advanced considerably from pretest to first posttest, and results did not significantly decline from first to second posttest; later the paper states results did not significantly decline in percentages and fractions anymore.

    “The evaluation after a couple of months showed the outcome that students advanced considerably from the pretest to the first posttest, and subsequently student results did not significantly decline from the first to the second posttest.”
    • Also stated in: § M1 M2 · plain
      “Team C implemented several measures to improve mathematic achievement, and the outcome was that student results did not significantly decline in percentages and fractions anymore.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In Team G's first two meetings, strong feeling that lower level intake in middle-level stream was problematic guided hypothesis formulation, and hypotheses were not supported by data.

    “In the first two meetings, the strong feeling that the lower level intake in the middle-level stream was problematic guided the team in formulating hypotheses.”
    • Also stated in: § Team G: depth of inquiry · plain
      “Although these hypotheses were not supported by the data, several team members returned to this feeling in later meetings.”
    Quote in the paperNot a substantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    In Team C's first two meetings, members talked about problem based on own experiences, not data; later meetings used more data and reached higher depth.

    “In the first two meetings, team members talked about the problem based on their own experiences, and not based on data.”
    • Also stated in: § Team C: depth of inquiry · plain
      “From Meetings 6 to 11, more data were collected and used as a basis for drawing conclusions about the problem, hypotheses, and solutions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    By Meeting 4, Team W understood that the problem had multiple causes and that they needed to examine internal causes such as curriculum and their own functioning.

    “The teachers reached two important understandings by the time of Meeting 4: (a) the problem was caused by more than one issue, and (b) they needed to start looking at internal causes, such as problems with their curriculum and their own functioning.”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    More advanced analyses by external facilitator showed Team C's scores dropped considerably.

    “The more advanced analyses, carried out by the external facilitator, showed that the scores dropped considerably.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    With help of facilitator, it became clear there were too few cases to draw meaningful conclusions for Team G.

    “With help of the facilitator, it became clear that there were too few cases to draw meaningful conclusions.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Team B mentioned external causes and sometimes its own functioning from the start.

    “The teachers further mentioned many external possible causes for the problem, such as the difficulty of mathematics or the (starting) level of students.”
    • Also stated in: § Team B: attribution · plain
      “However, they sometimes also brought up their own functioning from the start.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingreasoning

    Team B's depth of inquiry was confined to lowest levels and typically did not exceed average.

    “This means that depth of inquiry was confined to the lowest levels in the meetings, and typically did not exceed the”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.

    Findingown data

    This result surprised Team G; their gut feeling was wrong and it was even the other way around.

    “This came as a surprise to the team:”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Team W's data showed that hypotheses about transfer-rule strictness and motivation were incorrect.

    “Other hypotheses concerned strictness of transfer rules and motivation.Data showed that these hypotheses were incorrect.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Team W's motivation survey showed that both failing and passing students needed help with planning and more teacher feedback on planning.

    “However, the motivation survey results showed that students (both in the failing and passing group) needed help in planning and needed more feedback from teachers on their planning activities.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In Meeting 5, Team W compared failing and passing students, related answers to questions, discussed its own functioning, and developed new knowledge from data at high depth.

    “In Meeting 5, the team compared the results of failing and passing students and tried to relate the answers to different questions; also discussing their own functioning in relation to the students' opinions about this.The team was developing new knowledge based on the collected data (high depth).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.

    Findingown data

    Team C's data related to suspected problem were not readily available, and teachers had to construct and coordinate tests.

    “One of the challenges was that the data related to the suspected problem were not readily available, and the teachers had to first construct and coordinate the tests to find out more about the problem.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In its first meetings, Team W mainly considered hypotheses at the school level, though some hypotheses about student level and their own functioning were also considered.

    “Although some hypotheses about their own functioning and at the level of students were considered, the team mainly focused on hypotheses at the school level in the first meetings.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Team B acknowledged the problem only as late as the fifth meeting, and not convincingly or explicitly.

    “After extensive discussion, the problem was finally, although not convincingly or explicitly, acknowledged as late as the fifth meeting.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Teams generally started discussing problem from own experience, investigating more external hypotheses.

    “With regard to purpose, the teams generally started discussing the problem from their own experience, investigating the more external hypotheses.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    In Meeting 8, Team W found absenteeism explained a substantial part of the problem and concluded absenteeism measures should improve.

    “In Meeting 8, the team started with discussing the absenteeism results.It turned out that this explained a substantial part of the problem, and that the school's absenteeism measures should be improved.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Team W found that teachers did not regularly check homework.

    “Additionally, it seemed that teachers did not check homework regularly.”
    Quote in the paperNot a substantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingreasoning

    By final meetings, Team C teachers had structurally implemented repetition in lessons for fractions and percentages and used online programs to differentiate instruction.

    “By the time of the final meetings, the teachers had structurally implemented the repetition measure in their lessons, both for fractions and percentages, and were using the online programs to differentiate instruction.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Team W's depth of inquiry was lowest in Meetings 1 and 2, focused on personal experiences and anecdotes.

    “Depth of inquiry was nearly all the time confined to the lowest levels in Meetings 1 and 2: The discussion focused mostly on own personal experiences and anecdotes.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In Team W, members generally contributed actively, asked clarifying questions, and complemented one another.

    “In general, the different members of the team actively contributed to the discussions, asked each other clarifying questions, and complemented each other.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Teams W and C managed to successfully complete Steps 1 to 8 within pilot, create new knowledge, and base related decisions on data.

    “Teams W and C managed to successfully complete Steps 1 to 8 within the pilot study period, create new knowledge, and base related decisions on data.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Some data teams reached the action and outcomes phase and were able to use data to make improvements, while others did not.

    “The findings show that our theory of action seems to be applicable in practice, but also that teachers and school leaders go through different feedback loops, and that some are able to reach the action and outcomes phase, whereas others are not.”
    • Also stated in: § Implications for practice and recommendations for further research · plain
      “Some teams were able to engage and use data to make improvements, whereas others were not.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Data use for educational decision making has become more prevalent than ever.

    “The use of data for educational decision making has never been more prevalent”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Datnow, Park, & Kennedy-Lewis, 2013 source
    • cites Marsh & Farrell, 2015 source
    • cites Schildkamp & Kuiper, 2010 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    In 2010, only 20% of Dutch secondary schools applied data use according to the Dutch Inspectorate.

    “In 2010, only 20% of the Dutch secondary schools applied data use according to the Dutch Inspectorate”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Inspectie van het Onderwijs, 2011

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    In more successful teams, teachers examine underlying assumptions, question their practice, revise their ideas about teaching and learning, and change their practice.

    “In these teams, teachers explore underlying assumptions, question their own practice, revise their conceptions of teaching and learning, and adjust their practice accordingly.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Looking for external causes does not solve the problem because teachers often cannot change those causes.

    “Moreover, it does not lead to solving the problem as often there is nothing that the teachers can do about this external cause.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The Dutch Inspectorate increasingly holds schools accountable for using data to improve education quality.

    “the Dutch Inspectorate increasingly holds schools accountable for making use of data to improve the quality of their education”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Verbeek & Odenthal, 2014

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The data use theory of action was built from analyses of several data use models and frameworks.

    “Our data use theory of action (Schildkamp & Poortman, 2015, p. 5) is based on the analyses of several data use models and frameworks”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Coburn & Turner, 2011 source
    • cites Ikemoto & Marsh, 2007 source
    • cites Lai & Schildkamp, 2013 source
  • May combine two claims.

    Premisecitation

    Data teams focus on professional development in data use and school improvement, measured ultimately by student achievement outcomes, rather than on teachers building their own practical theories.

    “The focus of data teams, however, is on professional development specifically in data use and school improvement, ultimately measured in student achievement outcomes; rather than on teachers building their own practical theories of teaching”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Whitehead & McNiff, 2006 source
  • May combine two claims.

    Premisecitation

    Looking for causes outside the school can help teams learn to use data, but such assumptions are often wrong.

    “Investigating causes outside the school contributes to the learning process (learning how to use data), but often these assumptions are incorrect”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ingram et al., 2004 source
  • May combine two claims.

    Premisecitation

    Teachers often do not use data as well as they could, or do not use it at all.

    “teachers often do not use data to its best effect, if at all”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Schildkamp & Kuiper, 2010 source
    • cites Schildkamp & Teddlie, 2008 source
  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisecitation

    A qualitative descriptive approach is best for describing how data teams function in their context.

    “A qualitative, descriptive approach is most useful to describe the process of the functioning of data teams in its context”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Krathwohl, 1998

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisereasoning

    Data-based decision making is complex and non-linear and involves multiple feedback loops.

    “The framework acknowledges that data-based decision making is a complex and non-linear process, involving several feedback loops.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Collaboration enables teachers to learn from one another about data use and to exchange ideas and strategies.

    “Collaboration helps teachers to learn from each other how to use data, and allows for a fertile exchange of ideas and strategies”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Nelson & Slavit, 2007 source
    • cites Wohlstetter, Datnow, & Park, 2008 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Recording whole conversations gives more depth and specificity than using observation protocols or field notes alone.

    “Capturing the entire conversations in the meetings provides much more depth and specificity than we would achieve using observation protocols or field notes alone”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Little, 2012 source
  • May combine two claims.

    Premisecitation

    The inquiry element of professional learning communities is crucial because it can improve instruction and thereby raise student achievement.

    “According to Ball and Cohen (1999), the inquiry component of PLCs is crucial as this can improve instruction, which in turn can lead to increased student achievement.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ball & Cohen, 1999

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Action research is often organized around a cycle of inquiry and can be conducted collaboratively in a professional learning community.

    “Action research is often organized around a certain cycle of inquiry (Johnson, 2003) and can also be conducted collaboratively in a PLC (Capobianco & Feldman, 2010).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Johnson, 2003

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Capobianco & Feldman, 2010 source
  • Classified as probably not a substantial claim.

    Premisecitation

    How people attribute the cause of a problem has behavioral consequences for improvement actions based on data.

    “How individuals attribute causes of a problem has behavioral consequences (Weiner, 2010) in terms of possible improvement actions based on data.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Weiner, 2010 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    The Ministry of Education aims for at least 90% of primary and secondary schools to apply data use by 2018.

    “The policy aim of the Ministry of Education is that by 2018, at least 90% of the primary and secondary schools apply data use.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Dutch schools can use several data sources to improve education, including intake, transfer, school leaver, inspection, self-evaluation, assessment, examination, and questionnaire data.

    “Dutch schools can use several data sources to improve their education, such as data on intake, transfer, and school leavers; school inspection and selfevaluation data; assessment and examination results; and student and parent questionnaire data”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Schildkamp & Kuiper, 2010 source
  • May combine two claims.

    Premisecitation

    Data teams either return to new hypotheses when a hypothesis is wrong or act on the data when a hypothesis is right.

    “Data teams can take two possible actions: The hypothesis is incorrect and the action is to go back to formulating new hypotheses (a feedback loop is created), or the hypothesis is correct and the data team takes action based on the data.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Marsh, Pane, & Hamilton, 2006

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Marsh, 2012 source
  • Classified as probably not a substantial claim.

    Premisecitation

    In the data use theory of action, data and people interact within a context to produce decisions about what action to take.

    “the interaction between data and people, in a certain context, results in decisions regarding what action to take.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisereasoning

    Data teams check data validity and reliability; if data are not valid or reliable, they collect more data and create a feedback loop.

    “The team needs to filter the data (e.g., are the data valid and reliable; if not, additional data need to be collected and a feedback loop is created)”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    Researchers who did not facilitate the data teams conducted the analyses to support objectivity.

    “For objectivity reasons, the researchers who did not facilitate the data team conducted the analyses.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationcitation

    This study gave insight into what occurs when teachers work with data in data teams, opening up the collaborative inquiry process in professional learning communities.

    “This study provided more insight into what happens when teachers engage with data in data teams (opening the “black box” of the collaborative inquiry in PLCs; Butler & Schnellert, 2012).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Butler & Schnellert, 2012 source
  • May combine two claims.

    Interpretationreasoning

    The paper cannot conclude improvements were caused by data teams alone, but it is likely data teams contributed.

    “Although we cannot conclude that these improvements were caused by the work of the data teams alone, it is likely that the work of the data teams contributed to the improvements.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Study design and conductnone given

    Team W's school registration data were considered sufficiently reliable and valid.

    “The team collected data from their own school registration system, which were considered sufficiently reliable and valid.”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Interpretationown data

    Team C's wrong hypotheses about primary schools and secondary advice led to new knowledge about what did not cause their problem (conceptual data use).

    “However, this led to new knowledge with regard to what did not cause their specific problem (conceptual data use).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    All data team meetings and interviews were audio-recorded, which allowed thorough analysis.

    “All data team meetings and interviews were audiorecorded, allowing for thorough analysis of the data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The instruments were based on the theoretical framework and existing instruments.

    “Also, the instruments were based on our theoretical framework and existing instruments.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    Team W and C actions led to desired outcomes: they solved their educational problem and increased student achievement.

    “Moreover, these actions also led to the desired outcomes: These teams were able to solve their educational problem and increase student achievement”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    As stated by Marsh and Farrell (2015), data team procedures seem promising capacity building interventions.

    “As stated by Marsh and Farrell (2015), data team procedures seem to be promising capacity building interventions.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Marsh and Farrell (2015) source
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    Two researchers coded about 10% of the same observation transcripts.

    “Finally, two researchers coded approximately 10% of the same observation transcripts.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductcitation

    External validity was strengthened by providing case-specific and cross-case thick descriptions and by describing congruence with the theoretical framework.

    “We enhanced external validity in terms of analytical generalization by providing casespecific and cross-case thick descriptions (also including citations of respondents), and describing the congruence with the theoretical framework”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Poortman & Schildkamp, 2012 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The coding scheme was refined after an initial sample was coded, through researcher discussions about the scheme's applicability and the meaning of the data.

    “After initially coding a sample of the data, the coding scheme was refined, based on discussions between the researchers about the applicability of the scheme and the meaning of the data.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Organizational context, the characteristics of available data and data systems, macrolevel policy influence, and microlevel personal characteristics of data users all interact in data use.

    “We should therefore take into account the organizational context in which data use is taking place, but also the characteristics of the data and data systems available, as well as the influence of policy on data use at the macrolevel, and personal characteristics of the individual data users at the microlevel, as these all interact (Coburn & Turner, 2011, 2012;Marsh, 2012).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Coburn & Turner, 2011, 2012

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Marsh, 2012 source
  • Classified as probably not a substantial claim.

    Premisecitation

    Contextual factors may explain differences in the practices of different teams.

    “As stated by Horn and Little (2010), contextual factors may account for the differences in the practices of different teams.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Horn and Little (2010) source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Long-term school improvement requires focus, continuous planning, and inquiry into the causes of problems using data.

    “Duke (2015) found that long-term school improvement requires focus, continuous planning, and inquiry into the causes of problems (e.g., low performance) using data.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Duke (2015) source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    These contextual factors may include school organizational characteristics, such as the school leader's role, and whether teams have a measurable and shared goal.

    “These may refer to school organizational characteristics, such as the role of the school leader (e.g., facilitation, encouragement) (Knapp, Copland, & Swinnerton, 2007;Knapp, Swinnerton, Copland, & Monpas-Huber, 2006), and the degree to which teams have a measurable and shared goal (Datnow et al., 2007;Earl & Katz, 2006;Kerr et al., 2006;Wayman & Stringfield, 2006;Wohlstetter et al., 2008).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Knapp, Copland, & Swinnerton, 2007

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Datnow et al., 2007

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Earl & Katz, 2006

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

68 of 68
  • The paper relies on this without support.

    Teachers and school leaders need support in using data.

    “However, teachers and school leaders need support in data use.”
  • The paper relies on this without support.

    School leaders' participation in a data team helps ensure that the action plan is implemented at the end.

    “Furthermore, their participation will help ensure implementation of the action plan at the end of the process.”
  • The paper relies on this without support.

    Teachers have a central role in achieving sustainable and significant improvement in teaching and learning.

    “Teachers have a central role in realizing sustainable and significant improvement of teaching and learning practices.”
  • The paper relies on this without support.

    It is important that teachers at some stage take responsibility for their students' learning and begin to examine internal causes.

    “It is important that at some stage teachers take the responsibility for their students' learning and start to look at internal causes (internal attribution).”
  • The paper relies on this without support.

    More knowledge is needed on how to support schools in using data.

    “However, we need more knowledge on how to support schools in the use of data.”
5 of 5

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The ability of a process or system to continue functioning effectively over a long period of time enables long-term school improvement.

    “The ability of a process or system to continue functioning effectively over a long period of time enables long-term school improvement (Schildkamp et al., 2016).”

    From Using information and communication technology (ICT)-based data systems to support teacher data-driven decision-making: Insights from the literature (2013–2023) (2024) · cites this paper as Schildkamp et al., 2016

    The Implications for practice section says sustainability matters because a sustained focus on data use is crucial for long-term school improvement. It does not establish the broader claim that any process or system that continues functioning effectively enables long-term improvement; it also says the long-term effects of data teams need further study. No page number is available in our copy. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • The outcomes of the sense-making process can lead to different types of improvement actions, including curriculum changes, changes in instruction, and changes to assessment practices such as more formative assessments.

    “The outcomes of the sense-making process described above can lead to di ff erent types of improvement actions (see Figure 1). For example, it may lead to curriculum changes and to changes in instruction. It may also lead to changes to the assessment practices in a school, such as the implementation of more formative assessments instead of overreliance on summative assessment”

    From Data-based decision-making for school improvement: Research insights and gaps (2019) · cites this paper as Schildkamp, Poortman, and Handelzalts 2016

    The paper’s data-team framework says that interpreting data can lead to improvement measures. In “Team W: data-based decision making” (page unavailable), it describes work on curriculum coherence and assessment alignment; in “Team B: attribution” (page unavailable), it describes changes to lessons and differentiated instruction. Our copy does not support the specific example of implementing more formative assessments instead of relying on summative assessment. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • For teachers and school leaders to implement an action plan based on data, they need to connect the data to their own functioning.

    “in order for this to happen, we argue that there is a need for them to connect the data to their own functioning (Schildkamp, Poortman, and Handelzalts 2016).”

    From Data-based decision-making for school improvement: Research insights and gaps (2019) · cites this paper as Schildkamp, Poortman, and Handelzalts 2016

  • Key drawbacks of the definitional spectrum include its lack of current utility in school districts and research studies, inability to provide information about the etiology or function of a school attendance problem, and lack of association with prevention or intervention protocols for this population.

    “Key drawbacks of the definitional spectrum include its lack of current utility in school districts and research studies, inability to provide information about the etiology or function of a school attendance problem, and lack of association with prevention or intervention protocols for this population (Schildkamp et al., 2016; Balfanz and Byrnes, 2018).”

    From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as Schildkamp et al., 2016

    The Team W: data-based decision making section discusses student absenteeism as a possible contributor to failing grades and describes measures taken in response. It does not assess a definitional spectrum for school attendance problems. Searches for that spectrum, attendance definitions, etiology, and prevention or intervention protocols found no passage addressing the claimed drawbacks. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Citation year disagrees with the reference list

    Minor

    The text cites the work by Wayman, Midgley, and Stringfield as published in 2006, but the matching reference lists 2007.

1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 8

  1. Datnow A., 2007, Achieving with data: How high-performing school systems use data to improve instruction for elementary students
  2. Fullan M., 2000, Phi Delta Kappan, 81, 581
  3. Inspectie van het Onderwijs, 2011, De staat van het onderwijs: Onderwijsverslag 2009/2010
  4. Jimerson J. B., 2012, Branding educational data use through professional learning: Findings from a study in three districts
  5. Organisation for Economic Co-operation and Development, 2010, Education at a glance 2010: OECD indicators
  6. Schildkamp K., 2012, Data teams for school improvement
  7. 10.1007/978-94-007-4816-3 · DOI
  8. Verbeek C., 2014, Leidinggeven aan onderzoekende scholen

Cited by

Sorted by citations

Authors
Schildkamp, K., Poortman, C. L., & Handelzalts, A.
Affiliations
  • University of Twente (NL)
  • Vrije Universiteit Amsterdam (NL)
Corresponding author
Schildkamp, Kim
Venue
School Effectiveness and School Improvement
Published
2015-06-26
Volume
27
Issue
2
Pages
228-254
ISSN
  • 0924-3453 (ISSN-L)
  • 1744-5124
OpenAlex
W2179527361
Cited by
171
References
80
Citations by year
2026: 9 · 2025: 11 · 2024: 10 · 2023: 12 · 2022: 21 · 2021: 17 · 2020: 26 · 2019: 16 · 2018: 14 · 2017: 18 · 2016: 7 · 2015: 5 · 2014: 3 · 2013: 1 · 2012: 1
FWCI
28.21
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • School Effectiveness and School Improvement (publishedVersion)
  • University of Twente Research Information (submittedVersion, other-oa)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › School Leadership and Teacher Performance
Keywords
data teams, data-driven decision making, school improvement, professional development, teacher support, school leadership, feedback loops, educational data use

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-08.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-08.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review